Senior AI Engineer - Software Engineer Consultant II/Senior Consultant I/Senior Consultant II
Allstate (company site, opens in a new tab)6+ yrsHybridDirect career pageEst. 20–35 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement agent-driven AI pipelines using semantic ontologies, knowledge graphs, and LLMs to automate semantic mapping and data modeling at scale.
- Build and maintain enterprise semantic ontologies (RDF/OWL) and AI-powered services for schema understanding and metadata generation within data platforms.
- Develop and optimize dimension and fact generation pipelines on Microsoft Fabric to produce business-ready star schemas from heterogeneous data sources, while defining engineering standards and mentoring team members.
Minimum Requirements
- 6+ years professional software engineering experience with strong proficiency in Python and GenAI.
- Hands-on experience with LLM-based systems and semantic technologies: RDF, OWL, ontology modeling, knowledge graphs, and SPARQL.
- Experience with agentic AI frameworks (e.g., Google ADK, LangChain agents) and data engineering concepts (ETL/ELT, star schemas).
- Experience building and operating systems on cloud platforms, preferably Microsoft Azure / Microsoft Fabric.
Ideal Candidate Profile
- Experienced in building scalable AI and semantic data platforms involving ontologies and knowledge graphs in enterprise contexts.
- Comfortable working on greenfield platform initiatives with strong problem-solving skills and ability to establish engineering best practices.
- Skilled in integrating AI/LLM technologies within data engineering workflows and collaborating with data architects and domain experts for platform adoption and scalability.